About careerzynith – Where Data Meets Imagination
careerzynith is a global leader in entertainment, storytelling, and immersive experiences. With a legacy of creating beloved characters, unforgettable adventures, and cutting‑edge digital platforms, careerzynith continuously pushes the boundaries of what’s possible. Behind the scenes, data fuels every creative decision, from audience insights to operational efficiency. As part of careerzynith’s Information Designing Group, you will help shape the data foundation that powers the magic that millions of fans worldwide enjoy every day.
Why This Role Is a Game‑Changer
We are looking for a highly skilled, detail‑oriented Senior Data Engineer who thrives in a remote‑first environment. This is more than a data‑entry job; it’s an invitation to become a strategic partner in the creation of careerzynith’s next generation of stories, products, and experiences. You will work hand‑in‑hand with Studios, Project Innovation, and cross‑functional teams to design, build, and maintain robust data pipelines that enable real‑time analytics, predictive modeling, and data‑driven storytelling.
Key Responsibilities
- Design & Build ETL/ELT Pipelines: Architect, develop, and maintain scalable data pipelines using SQL, Python, and modern orchestration tools such as Apache Airflow (referred to as “Wind stream” in internal terminology).
- Data Modeling & Mapping: Create comprehensive data models, schema designs, and view definitions that support analytics, reporting, and machine‑learning workloads across DEV, QA/UAT, and Production environments.
- Cloud Platform Management: Deploy and optimize data workloads on AWS services (including S3, Redshift, and Athena) and Snowflake data warehouses, ensuring high availability and cost‑efficiency.
- Collaboration & Requirements Gathering: Partner with product owners, data scientists, and business analysts to translate business needs into technical specifications and data‑quality standards.
- Version Control & CI/CD: Leverage GitLab/GitHub for source control, implement automated testing, and manage containerized deployments with Docker.
- Data Lake & Warehouse Governance: Implement best practices for data lake organization, metadata management, and data‑catalog maintenance.
- Performance Tuning & Optimization: Monitor pipeline performance, troubleshoot bottlenecks, and apply indexing, partitioning, and caching strategies to accelerate data processing.
- Documentation & Knowledge Sharing: Produce clear documentation, run internal workshops, and mentor junior engineers on data‑engineering best practices.
- Innovation & Process Improvement: Drive continuous improvement initiatives, evaluate emerging technologies, and propose enhancements to the data‑engineering lifecycle.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field (or equivalent practical experience).
- Professional Experience: Minimum 3 years of hands‑on experience as a Data Engineer or Information Designer, with at least 2 years focused on building and maintaining ETL/ELT pipelines.
- SQL Expertise: 2+ years of advanced SQL development, query optimization, and stored‑procedure creation.
- Programming Skills: Proficiency in Python for data manipulation, scripting, and automation.
- Cloud Proficiency: Demonstrated experience with AWS services (S3, EC2, Lambda, Redshift) and familiarity with Snowflake or comparable cloud data warehouses.
- Containerization & CI/CD: Hands‑on experience with Docker and GitLab/GitHub for continuous integration and deployment pipelines.
- Big‑Data Technologies: Experience working with large datasets, data lakes, and platforms such as Databricks, Snowflake, or similar.
- Collaboration Tools: Comfortable using collaboration platforms (e.g., Jira, Confluence) and communicating technical concepts to non‑technical stakeholders.
Preferred Qualifications & Nice‑to‑Haves
- Master’s degree or advanced certifications in Data Engineering, Cloud Architecture, or related disciplines.
- Experience in the streaming, media, or digital entertainment industry.
- Familiarity with Looker or other modern BI tools for data visualization.
- Knowledge of data‑governance frameworks and compliance standards (e.g., GDPR, CCPA).
- Hands‑on experience with Apache Kafka or other streaming platforms.
- Track record of leading data‑engineering projects from concept to production.
Core Skills & Competencies
- Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant solutions.
- Detail Orientation: Meticulous attention to data quality, schema consistency, and documentation.
- Communication: Strong written and verbal communication skills; capable of presenting technical findings to senior leadership.
- Team Player: Collaborative spirit, eager to share knowledge and learn from peers across diverse disciplines.
- Adaptability: Comfortable thriving in a fast‑paced, ever‑changing environment where priorities shift quickly.
- Self‑Management: Proven ability to work independently, meet deadlines, and maintain productivity in a remote setting.
Career Growth & Learning Opportunities
At careerzynith, your career trajectory is limited only by your ambition. As a Senior Data Engineer, you will have access to:
- Mentorship from industry veterans who have built data platforms for global entertainment brands.
- Sponsored certifications (AWS Certified Data Analytics, Snowflake SnowPro, etc.) and tuition reimbursement for advanced degrees.
- Opportunities to lead cross‑functional data initiatives, influencing product strategy and creative direction.
- Internal mobility programs that allow you to explore roles in data science, analytics, or product management.
- Regular hackathons and innovation sprints where you can prototype new data‑driven experiences.
Work Environment & Culture at careerzynith
careerzynith embraces a culture of creativity, inclusivity, and continuous improvement. Our remote‑first policy empowers you to work from anywhere in the United States while staying connected through virtual collaboration hubs, weekly “storytelling” sessions, and quarterly in‑person retreats at iconic careerzynith locations.
Key cultural pillars include:
- Magic‑First Mindset: Every data solution you build contributes to the enchantment of millions of fans.
- Innovation & Curiosity: We encourage experimentation, and failures are treated as learning opportunities.
- Diversity & Inclusion: A diverse workforce fuels richer ideas; we celebrate differences and champion equity.
- Work‑Life Harmony: Flexible hours, generous PTO, and wellness programs support your personal and professional well‑being.
Compensation, Perks & Benefits
While the base rate for this role is $30 per hour, careerzynith offers a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- 401(k) retirement plan with company match.
- Paid parental leave, family leave, and generous vacation policy.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Annual learning allowance for conferences, courses, and books.
- Employee assistance program (EAP) and mental‑health resources.
- Access to careerzynith’s entertainment parks, streaming services, and exclusive merchandise discounts.
How to Apply
If you are ready to blend technical excellence with a passion for storytelling, we want to hear from you. Join careerzynith’s data‑driven adventure and help us turn imagination into reality—one data pipeline at a time.
For more exciting remote opportunities, explore our full catalog here.